|Description||Semantic video indexing|
Video Semantics is leading the domain of real-time intelligent contextual segmentation and tagging through its patent-pending technology. Video Semantics’ state-of-the-art machine learning and natural language processing algorithms enables content producers to monetize video programming opens doors for multiple streams of innovative revenue.
Our technology automatically discovers the temporal boundaries of the video’s contextually coherent video segments (CCVS). A CCVS is a temporal part of the video during which only one topic has been discussed and can be used to describe the theme of this part of the video. A CCVS may or may not contain any visual changes. Moreover, Video Semantics’ technology automatically assigns textual tags to each CCVS such that these keywords contextually describe the theme of the topic discussed in this part of the video. Video Semantics’ technology enables a multitude of applications such as sophisticated video indexing and search, and contextual media delivery.
Content producers can realize several benefits using Video Semantics technology such as:
Advanced unique precise segmentation and tagging Novel automated tagging algorithm Several orders of magnitude of operational cost reduction Scalable indexing Enhanced video hosting and distribution Innovative and intelligent video asset monetization Real-time video programming control